Skip to main content

Table 3 Univariate analysis of how well each parameter allows distinguishing between patients with BC and controlsa

From: Using Resistin, glucose, age and BMI to predict the presence of breast cancer

Variables

95% CI for AUC

Sensitivity

Specificity

Age

[0.42, 0.64]

–

–

BMI

[0.46, 0.68]

–

–

Glucose

[0.68, 0.85]

77

67

Insulin

[0.52, 0.72]

47

83

HOMA

[0.56, 0.76]

50

85

Leptin

[0.39, 0.60]

–

–

Adiponectin

[0.41, 0.62]

–

–

Resistin

[0.57, 0.77]

55

79

MCP-1

[0.36, 0.57]

–

–

  1. aA ROC analysis performed for each variable. The resulting 95% confidence intervals for the AUC were computed. For variables for which the confidence interval did not contain the number 0.5, the sensitivity and specificity that maximise Youden Index were computed
Back to article page

BMC Cancer

ISSN: 1471-2407

Contact us